Iron oxide nano-adsorbent doped with nickel and palladium for phosphorus removal from water

Excessive phosphorus (P) in surface and ground water can cause serious environmental issues. This study aims to synthesize and characterize novel iron oxides (Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> ) nanoparticles (NPs) with and without Ni and Ni-Pd doping and unravel the NPs' performance and mechanism for P removal from water. X-ray diffraction, energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy results confirmed successful doping of Ni and Ni-Pd on Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs. Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni NPs exhibited a higher specific surface area and isoelectric point than Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs. The kinetic data for P adsorption on Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs fitted to the pseudo-first order model and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs fitted to the pseudo-second order model. Adsorption isotherm data for Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs fitted to the Freundlich model and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs fitted to the Langmuir model. The maximum P adsorption capacity was the highest for Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni (35.66 mg g<sup>-1</sup>) followed by Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd (30.73 mg g<sup>-1</sup>) and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs (21.97 mg g<sup>-1</sup>), which was opposite to the P desorption order of these adsorbents. The adsorption and characterization analysis suggested that inner-sphere complexes and co-precipitation were the key mechanisms for P adsorption on Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs. Therefore, Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni NPs were a highly effective adsorbent for removing P from water.

Authors

Institutions

Publication Details

Journal
RSC Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ra02256h
Citations
2
Primary Topic
Phosphorus and nutrient management
Type
article
Field-Weighted Citation Impact
1.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Iron oxide nano-adsorbent doped with nickel and palladium for phosphorus removal from water

Pablo Cornejo, Lizethly Cáceres-Jensen, Alejandra García‐García, Juliano C. Denardin et al.
2 citations
RSC Advances
Phosphorus and nutrient management
1.99
article

Iron oxide nano-adsorbent doped with nickel and palladium for phosphorus removal from water

Pablo Cornejo, Lizethly Cáceres-Jensen, Alejandra García‐García, Juliano C. Denardin, Jonathan Suazo-Hernández, Pamela Sepúlveda, Marı́a de la Luz Mora, Binoy Sarkar
article en
2 citations

Abstract

Excessive phosphorus (P) in surface and ground water can cause serious environmental issues. This study aims to synthesize and characterize novel iron oxides (Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> ) nanoparticles (NPs) with and without Ni and Ni-Pd doping and unravel the NPs' performance and mechanism for P removal from water. X-ray diffraction, energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy results confirmed successful doping of Ni and Ni-Pd on Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs. Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni NPs exhibited a higher specific surface area and isoelectric point than Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs. The kinetic data for P adsorption on Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs fitted to the pseudo-first order model and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs fitted to the pseudo-second order model. Adsorption isotherm data for Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs fitted to the Freundlich model and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs fitted to the Langmuir model. The maximum P adsorption capacity was the highest for Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni (35.66 mg g<sup>-1</sup>) followed by Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd (30.73 mg g<sup>-1</sup>) and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> NPs (21.97 mg g<sup>-1</sup>), which was opposite to the P desorption order of these adsorbents. The adsorption and characterization analysis suggested that inner-sphere complexes and co-precipitation were the key mechanisms for P adsorption on Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni and Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni-Pd NPs. Therefore, Fe <sub><i>x</i></sub> O <sub><i>y</i></sub> -Ni NPs were a highly effective adsorbent for removing P from water.

RSC AdvancesVol. 15(32)
Universidad de Santiago de Chile (CL), Universidad Mayor (CL), Universidad de La Frontera (CL), University of Talca (CL), University of South Australia (AU), University of Concepción (CL), Metropolitan University of Educational Sciences (CL), Universidad Bernardo O'Higgins (CL), Universidad de las Américas (NI), Instituto de Estudios Avanzados (VE), Centro de Investigación en Materiales Avanzados (MX), Centro de Estudios Científicos (CL)
Universidad de La Frontera, Agencia Nacional de Investigación y Desarrollo, Fondo Nacional de Desarrollo Científico y Tecnológico
Clean water and sanitation
Openalex Percentile: Top 13%
Phosphorus and nutrient management
1.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.